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Decision-making based on multicriteria is one of the most critical issues solving ways to select the most suitable decision among a number of alternatives. Deep learning algorithms and multicriteria-based decision-making have effective applications in big data. Derivations are made based on the use of deep algorithms and multicriteria. Due to its effectiveness and potentiality, it is exploited in several domains such as computer science and information technology, agriculture, and business sector. The aim of the proposed study is to present a systematic literature study in order to show the applications of deep learning algorithms and multicriteria decision approaches for the problems of big data. The research finds novel means to make the decision support system for the problems of big data using multiple criteria in integration with machine learning and artificial intelligence approaches.<\/jats:p>","DOI":"10.1155\/2020\/2836064","type":"journal-article","created":{"date-parts":[[2020,8,17]],"date-time":"2020-08-17T23:46:14Z","timestamp":1597707974000},"page":"1-18","source":"Crossref","is-referenced-by-count":40,"title":["Deep Learning Algorithms and Multicriteria Decision-Making Used in Big Data: A Systematic Literature Review"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0898-9688","authenticated-orcid":true,"given":"Mei","family":"Yang","sequence":"first","affiliation":[{"name":"School of Politics and Public Administration, Collaborative Innovation Center of National Security Research, Xinjiang University, Urumuqi 830046, 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